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Two-layer hierarchical control for large-scale urban traffic networks

机译:大型城市交通网络的双层分层控制

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Many efforts have been carried out to optimize the traffic signal settings in cities. Nevertheless, state-of-the-art and -practice strategies cannot deal efficiently with oversaturated conditions (i.e. queue spillbacks and partial gridlocks), as they are either based on application-specific heuristics or they fail to replicate accurately the propagation of congestion. An alternative approach for real-time network-wide control is the perimeter flow control (or gating). This can be viewed as an upper-level control layer, and be combined with other strategies (e.g. local or coordinated regulators) in a hierarchical control framework. In the current work, a recently developed perimeter control regulator is utilized for the upper-level layer. Another lower-level control layer utilizes the max-pressure regulator, which constitutes a local feedback control law, applied in coupled intersections, in a distributed systems-of-systems (SoS) concept. Different approaches are discussed about the design of the hierarchical structure of SoS and a traffic microsimulation tool is used to assess the impact of each approach to the overall traffic conditions. Preliminary results show that integrating a network-level approach within a local adaptive framework can significantly improve the system performance when spillback phenomena occur (a common feature of city centres with short links).
机译:已经进行了许多努力来优化城市的交通信号设置。尽管如此,最先进的和 - 练习策略不能与过饱和条件有效处理(即队列溢出器和部分综合锁),因为它们是基于应用特定的启发式,或者它们未准确复制拥塞的传播。实时网络范围控制的替代方法是周边流量控制(或门控)。这可以被视为上层控制层,并与其他策略(例如本地或协调调节器)组合在分层控制框架中。在当前的工作中,最近开发的周边控制调节器用于上层层。另一个下层控制层利用MAX-压力调节器,其构成应用于耦合的交叉点的局部反馈控制定律,在分布式系统(SOS)概念中。关于SOS的层次结构的设计讨论了不同的方法,并且使用流量微仿制工具来评估每种方法对整体交通状况的影响。初步结果表明,在本地自适应框架内集成网络级方法可以在发生溢出现象时显着提高系统性能(具有短链路的城市中心的共同特征)。

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